PhD Candidate: AI-Driven MRI Imaging (Hybrid)

Norwegian University of Science and Technology (NTNU); Trondheim; On-site; NOK 496,000 - 606,000; Full time

Benefits offered by this job

Mentor programme as a new employee at

Favorable terms with SPK pension

Free Norwegian language training

Career guidance during PhD

Open and inclusive working environment

Job summary

NTNU seeks a PhD Candidate in the MRI Physics Group, Department of Physics, to advance image reconstruction usingImplicit Neural Representations. The project spans spinal cord fMRI and high-field 7T MRI, integrating physics with neural networks for improved diagnostic imaging.

The position includes research, teaching assistance, and opportunities to present findings at international conferences. A 3-year doctoral contract is offered with development support within an international environment.

Qualifications

• Master's degree in physics, mathematics, biomedical engineering, computer science or equivalent, documented before 31 August 2027.
• Academic record at or above NTNU's grade level B or better.
• Admission to the PhD programme in Physics or Biophysics or Medical Technology within three months of employment.
• Excellent oral and written English.
• Good programming skills.

Responsibilities

• Simulate MRI data and model disturbances from physical sources.
• Develop, implement and train INR models for MRI time-series data.
• Analyze functional MRI data of the spinal cord.
• Present research findings in publications and at conferences.
• Assist with teaching activities.

Skills

Programming

English

Education

Master's degree (Physics/Math/Bioengineering/CS)

Tools

Linux systems

High Performance Computing

Job description

NTNU seeks a PhD Candidate in the MRI Physics Group, Department of Physics, to advance image reconstruction usingImplicit Neural Representations. The project spans spinal cord fMRI and high-field 7T MRI, integrating physics with neural networks for improved diagnostic imaging.

The position includes research, teaching assistance, and opportunities to present findings at international conferences. A 3-year doctoral contract is offered with development support within an international environment.